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VASP, Quantum ESPRESSO, VAMPIRE, or MuMax3 Perform simulations to design and optimize material properties for the desired magnetic characteristics Complete the doctoral education until obtaining a
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research challenges the PhD student might work on include: Indexing methods for dynamic, temporal, and streaming graphs Adaptive storage for static and dynamic graphs Workload-aware self-optimizing graph
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) applications in the power grid. • Experience with power system modeling, simulation, dynamics and/or optimization, phasor and electromagnetic transient (EMT)-based modeling, and Python and/or Matlab
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graphs Workload-aware self-optimizing graph database systems or other interesting topics in the area of graph database systems more or less related to the aforementioned ones. The work will be performed in
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understanding of the transition to the Leidenfrost state, and (ii) optimize the heat transfer between the droplet and the substrate. The practical implications will be leveraged by non-academic institutions
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monitoring of different sources of N fluxes in the system. He/she will need to contribute to the optimization and implementation of advanced sensing platforms for the collection of data on soil N, more
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/she will need to contribute to the optimization and implementation of advanced sensing platforms for the collection of data on different forms of nitrogen, more specifically nitrogen in manure and bio